Template extraction in python/php

Question

Are there existing template extract libraries in either python or php? Perl has Template::Extract, but I haven't been able to find a similar implementation in either python or php.

The only thing close in python that I could find is TemplateMaker (http://code.google.com/p/templatemaker/), but that's not really a template extraction library.

Answer 1

After digging around some more I found a solution to exactly what I was looking for. filippo posted a list of python solutions for screen scraping in this post: Options for HTML scraping? among which is a package called scrapemark ( http://arshaw.com/scrapemark/ ).

Hope this helps anyone else who is looking for the same solution.

Answer 2

TmeplateMaker does seem to do what you need, at least according to its documentation. Instead of receiving a template as an input, it infers ("learns") if from a few documents. Then, it has the extract method to extract the data from other documents that were created with this template.

The example shows:

# Now that we have a template, let's extract some data.
>>> t.extract('<b>red and green</b>')
('red', 'green')
>>> t.extract('<b>django and stephane</b>')
('django', 'stephane')

# The extract() method is very literal. It doesn't magically trim
# whitespace, nor does it have any knowledge of markup languages such as
# HTML.
>>> t.extract('<b>  spacy  and <u>underlined</u></b>')
('  spacy ', '<u>underlined</u>')

# The extract() method will raise the NoMatch exception if the data
# doesn't match the template. In this example, the data doesn't have the
# leading and trailing "<b>" tags.
>>> t.extract('this and that')
Traceback (most recent call last):
...

So, to achieve the task you require, I think you should:

• Give it a few documents rendered from your template - it will have no trouble inferring the template from them.
• Use the inferred template to extract data from new documents.

Come to think about it, it's even more useful than Perl's Template::Extract as it doesn't expect you to provide it a clean template - it learns it on its own from sample text.